{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "fc72d98f-8993-4bd4-a545-23d122f3df71",
   "metadata": {},
   "source": [
    "# H₂ Molecule Homework Assignment\n",
    "### Quantum Software Development Journey: From Theory to Application with Classiq - Part 3\n",
    "\n",
    "- Similarly to what we have done in class, in this exercise we will implement the VQE on H2 molecule.\n",
    "- This time instead of using the built-in methods and functions (such as `Molecule` and `MoleculeProblem`) to difne and solve the problem, you will be provided with a two qubits Hamiltonian."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "56eda6d8-76c4-4862-b914-0c4598d67274",
   "metadata": {},
   "source": [
    "## Submission\n",
    "- Submit the completed Jupyter notebook and report via GitHub. Ensure all files are correctly named and organized.\n",
    "- Use the Typeform link provided in the submission folder to confirm your submission.\n",
    "\n",
    "## Additional Resources\n",
    "- [Classiq Documentation](https://docs.classiq.io/latest/)\n",
    "- The notebook from live session #3\n",
    "\n",
    "## Important Dates\n",
    "- **Assignment Release:** 22.5.2024\n",
    "- **Submission Deadline:** 3.6.2024 (7 A.M GMT+3)\n",
    "\n",
    "---\n",
    "\n",
    "Happy coding and good luck!"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d41e969d-f6a7-4ff7-9660-19ce6c97ba6b",
   "metadata": {},
   "source": [
    "### Part 1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f710d6f4-d40b-42d5-b524-c6acb8059fe2",
   "metadata": {},
   "source": [
    "Given the following Hamiltonian:"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6ba8a6f1-3259-4492-a1ca-3abde7530cd4",
   "metadata": {},
   "source": [
    "$$\n",
    "\\hat{H} = -1.0523 \\cdot (I \\otimes I) + 0.3979 \\cdot (I \\otimes Z) - 0.3979 \\cdot (Z \\otimes I) - 0.0112 \\cdot (Z \\otimes Z) + 0.1809 \\cdot (X \\otimes X)\n",
    "$$"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "736d275c-9a5a-4c08-b891-3078430dc6c1",
   "metadata": {},
   "source": [
    "Complete the following code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "19266c11-6acc-4edb-910f-2d0dfe80a6c8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from typing import List\n",
    "from classiq import *\n",
    "\n",
    "# Define Hamiltonian\n",
    "HAMILTONIAN = QConstant(\"HAMILTONIAN\", List[PauliTerm], [PauliTerm(pauli=[Pauli.I, Pauli.I], coefficient=-1.0523),\n",
    "                                                         PauliTerm(pauli=[Pauli.I, Pauli.Z], coefficient=0.3979),\n",
    "                                                         PauliTerm(pauli=[Pauli.Z, Pauli.I], coefficient=-0.3979),\n",
    "                                                         PauliTerm(pauli=[Pauli.Z, Pauli.Z], coefficient=-0.0112),\n",
    "                                                         PauliTerm(pauli=[Pauli.X, Pauli.X], coefficient=0.1809)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "0bb68899-2076-45c0-8868-131f38aa3b78",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opening: https://platform.classiq.io/circuit/67cce443-862c-4003-a483-92d42441cfad?version=0.42.0\n"
     ]
    }
   ],
   "source": [
    "@qfunc\n",
    "def main(q: Output[QArray[QBit]], angles: CArray[CReal, 3]) -> None:\n",
    "    # Create an ansatz which allows each qubit to have arbitrary rotation\n",
    "    allocate(2, q)\n",
    "    U(angles[0], angles[1], angles[2], 0, q[0])\n",
    "    U(angles[0], angles[1], angles[2], 0, q[1])\n",
    "\n",
    "\n",
    "@cfunc\n",
    "def cmain() -> None:\n",
    "    res = vqe(\n",
    "        HAMILTONIAN,\n",
    "        False,\n",
    "        [],\n",
    "        optimizer=Optimizer.COBYLA,\n",
    "        max_iteration=1000,\n",
    "        tolerance=0.001,\n",
    "        step_size=0,\n",
    "        skip_compute_variance=False,\n",
    "        alpha_cvar=1.0,\n",
    "    )\n",
    "    save({\"result\": res})\n",
    "\n",
    "qmod = create_model(main, classical_execution_function=cmain) # complete the line, use classical_execution_function\n",
    "qprog = synthesize(qmod)\n",
    "show(qprog)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0563c1a8-7aec-4da9-9105-6b16c5c24382",
   "metadata": {},
   "outputs": [],
   "source": [
    "execution = execute(qprog)\n",
    "res = execution.result()\n",
    "# execution.open_in_ide()\n",
    "vqe_result = res[0].value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "de17cfc0-8e64-4493-b4c2-4a97fc9797a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal energy: -1.0604361328125\n",
      "Optimal parameters: {'angles_0': -0.1958825785281677, 'angles_1': -1.8571141405907794, 'angles_2': 2.9043437874754607}\n",
      "Eigenstate: {'01': (0.09631896879639025+0j), '10': (0.09375+0j), '00': (0.9909256247317454+0j)}\n"
     ]
    }
   ],
   "source": [
    "print(f\"Optimal energy: {vqe_result.energy}\")\n",
    "print(f\"Optimal parameters: {vqe_result.optimal_parameters}\")\n",
    "print(f\"Eigenstate: {vqe_result.eigenstate}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5df11dfc-3e3a-4191-bd47-d522ca3dcbfa",
   "metadata": {},
   "source": [
    "Does it similar to the `optimal energy` we calculated in class? \\\n",
    "Does it similar to the `total energy` we calculated in class?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9563442-8e14-407c-95c7-a8bfa9e0f130",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<strong>My answers</strong>: <br/><br/><br/>\n",
    "\n",
    "**Does it similar to the `optimal energy` we calculated in class?**:\n",
    "\n",
    "No, the `optimal energy` is not similar to the one calculated in class (with the help of the `Molecule` and `MoleculeProblem` classes), since we are solving the Hamiltonian with two qubits separately, that is, the information between the qubits is not correlated in any way; therefore, there is no parameter setting that considers both qubits as a single system.\n",
    "\n",
    "<br/>\n",
    "\n",
    "**Does it similar to the `total energy` we calculated in class?**:\n",
    "\n",
    "No, it is not similar to the `total energy` either because the `optimal energy` is not similar, so when calculating the `total energy` we cannot obtain a value similar to the one calculated in the class.\\\n",
    "(In the answers to _Part 2_, I calculate the `total energy`)\n",
    "\n",
    "<br/>\n",
    "\n",
    "<table>\n",
    "    <tr>\n",
    "        <td> </td>\n",
    "        <td><b>Optimal energy [Ha]</b></td>\n",
    "        <td><b>Total energy [Ha]</b></td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td><b>From class (session 3)</b></td>\n",
    "        <td>-1.857821819076969</td>\n",
    "        <td>-1.137852824627989</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td><b>From this HW3 (Part 1)</b></td>\n",
    "        <td>-1.064230957031249</td>\n",
    "        <td>((na))</td>\n",
    "    </tr>\n",
    "</table>\n",
    "\n",
    "<br/>\n",
    "\n",
    "**Plot**:\n",
    "\n",
    "In the next cell, I show the plot of the energy optimization process of the VQE algorithm used. We can see that there is a convergence, but it reaches a plateau relatively quickly, where it remains \"stuck\" and is still unable to find a better value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "7b3f6ae0-1f38-471b-a922-cef9ac8608eb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": "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",
      "image/png": "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",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x480>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "import io\n",
    "import base64\n",
    "\n",
    "image_bytes = base64.b64decode(vqe_result.convergence_graph_str)\n",
    "\n",
    "# Usa io.BytesIO para convertir los bytes en un objeto de archivo\n",
    "image_file = io.BytesIO(image_bytes)\n",
    "\n",
    "# Abre la imagen con PIL\n",
    "image = Image.open(image_file)\n",
    "\n",
    "# Muestra la imagen en el notebook\n",
    "display(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f0e0bea-b12f-43ad-94e8-100fedf2b57f",
   "metadata": {},
   "source": [
    "### Part 2"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66882248-de08-4a6e-b33c-647f015f7d79",
   "metadata": {},
   "source": [
    "**Now, we want to have a more interesting ansatz in our `main`.**  \n",
    "Add **one** line of code to the `main` function you created in Part 1 that creates **entanglement** between the two qubits.  \n",
    "Which gate should you use?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "bb39be9e-4994-44e5-84d8-c99bc8b77145",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Opening: https://platform.classiq.io/circuit/e57a3c95-4185-4ac7-8eda-0b41e8de8779?version=0.42.0\n"
     ]
    }
   ],
   "source": [
    "@qfunc\n",
    "def main(q: Output[QArray[QBit]], angles: CArray[CReal, 3]) -> None:\n",
    "    # Create an ansatz which allows each qubit to have arbitrary rotation\n",
    "    allocate(2, q)\n",
    "    U(angles[0], angles[1], angles[2], 0, q[0])\n",
    "    U(angles[0], angles[1], angles[2], 0, q[1])\n",
    "    CX(q[0], q[1])\n",
    "\n",
    "\n",
    "@cfunc\n",
    "def cmain() -> None:\n",
    "    res = vqe(\n",
    "        HAMILTONIAN,\n",
    "        False,\n",
    "        [],\n",
    "        optimizer=Optimizer.COBYLA,\n",
    "        max_iteration=1000,\n",
    "        tolerance=0.001,\n",
    "        step_size=0,\n",
    "        skip_compute_variance=False,\n",
    "        alpha_cvar=1.0,\n",
    "    )\n",
    "    save({\"result\": res})\n",
    "\n",
    "qmod = create_model(main, classical_execution_function=cmain) # complete the line, use classical_execution_function\n",
    "qprog = synthesize(qmod)\n",
    "show(qprog)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "112a1590-283c-4f79-8035-72936561102d",
   "metadata": {},
   "outputs": [],
   "source": [
    "execution = execute(qprog)\n",
    "res = execution.result()\n",
    "# execution.open_in_ide()\n",
    "vqe_result = res[0].value"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "06500e4c-a04b-4cfa-a84d-41f96a0c68eb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimal energy: -1.8541486328124999\n",
      "Optimal parameters: {'angles_0': 3.2528566097261744, 'angles_1': 6.931253517134524, 'angles_2': -3.1732937057222257}\n",
      "Eigenstate: {'10': (0.07328774624724109+0j), '11': (0.0625+0j), '01': (0.9953505192895616+0j)}\n"
     ]
    }
   ],
   "source": [
    "print(f\"Optimal energy: {vqe_result.energy}\")\n",
    "print(f\"Optimal parameters: {vqe_result.optimal_parameters}\")\n",
    "print(f\"Eigenstate: {vqe_result.eigenstate}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "30a635d7-2f15-4c94-a94b-f4270f17aed8",
   "metadata": {},
   "source": [
    "Does it similar to the `optimal energy` we calculated in class? \\\n",
    "Does it similar to the `total energy` we calculated in class? \\\n",
    "What can we learn about the provided  form this result Hamiltonian?"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7e3e86b-d184-49d8-aaa8-781a919d5aec",
   "metadata": {},
   "source": [
    "<div class=\"alert alert-block alert-info\">\n",
    "<strong>My answers</strong>: <br/><br/><br/>\n",
    "\n",
    "**Does it similar to the `optimal energy` we calculated in class?**:\n",
    "\n",
    "Yes, the `optimal energy` is similar to the one calculated in class (with the help of the `Molecule` and `MoleculeProblem` classes), this is because the calculation in this Part 2 considers the two correlated qubits (we added a CNOT gate between them) so that now the complete system can be considered formed by two qubits, and when calculating the values of the parameters (the angles) these are subject to working for both qubits at the same time.\n",
    "\n",
    "<br/>\n",
    "\n",
    "**Does it similar to the `total energy` we calculated in class?**:\n",
    "\n",
    "Everything seems to indicate that this will be the case, but to confirm it we need to determine the value of the `nuclear repulsion energy`.\n",
    "\n",
    "The nuclear repulsion energy in a molecule refers to the energy associated with the repulsion between the nuclei of the atoms that compose it. In a molecule, the nuclei of atoms are positively charged and, therefore, repel each other due to the electrostatic force. To calculate this energy, we need to know the internuclear distance $R$.\n",
    "\n",
    "We could determine the distance between the two protons of the $H_2$ molecule from the Hamiltonian provided. To do this, we need to remember that the Hamiltonian coefficients are related to integrals of two electrons and other terms that depend on the internuclear distance $R$. But this is not simple to calculate. In fact, this is an inverse problem that is not solved directly from the Hamiltonian in its given form.\n",
    "\n",
    "Instead, we will consider that the hydrogen molecule is in its ground state, so we can take the average distance between the two nuclei, which would be equal to approximately $74 \\ \\text{pm} $ or $ 0.74 \\ \\text{Å} $ or $0.74 \\times 10^{-10} \\ \\text{m}$.\n",
    "\n",
    "To calculate the nuclear repulsion energy for the $H_2$ molecule, the formula for the electrostatic potential energy between two charges $q_1$ and $q_2$ can be used:\n",
    "\n",
    "$$ E_{\\text{repulsion}} = \\frac{k \\cdot q_1 \\cdot q_2}{R} $$\n",
    "\n",
    "where:\n",
    "- $ E_{\\text{repulsion}} $ is the the nuclear repulsion energy\n",
    "- $ k $ is the Coulomb constant ($8.987 \\times 10^9 \\ \\text{N·m}^2/\\text{C}^2 $)\n",
    "- $ q_1 $ and $ q_2 $ are the charges of the nuclei (in the case of $H_2$, both are $ +1e $, where $ e $ is the charge of the proton, $ 1.602 \\times 10^{-19} \\ \\text{C} $)\n",
    "- $ R $ is the distance between the nuclei\n",
    "\n",
    "Therefore,\n",
    "\n",
    "\\begin{align}\n",
    "E_{\\text{repulsion}} &= \\frac{(1.602 \\times 10^{-19} \\ \\text{C})^2}{4 \\pi (8.854 \\times 10^{-12} \\ \\text{F/m}) \\times 0.74 \\times 10^{-10} \\ \\text{m}}\\\\\\\\\n",
    "&= \\frac{2.566 \\times 10^{-38}}{1.112 \\times 10^{-10} \\times 0.74 \\times 10^{-10}}\\\\\\\\\n",
    "&= \\frac{2.566 \\times 10^{-38}}{8.237 \\times 10^{-21}}\\\\\\\\\n",
    "&= 3.115 \\times 10^{-18} \\ \\text{J}\n",
    "\\end{align}\n",
    "\n",
    "We convert to Hartree:\n",
    "\n",
    "$$ E_{\\text{repulsion},(\\text{Hartree})}  = \\frac{3.115 \\times 10^{-18} \\ \\text{J}}{4.3597447222071 \\times 10^{-18} \\ \\text{J/Hartree}} = 0.714 \\ \\text{Hartree} $$\n",
    "\n",
    "<br/>\n",
    "\n",
    "Then, the `total energy` of the molecule is obtained by adding this nuclear repulsion energy to the electronic energy calculated from the given Hamiltonian:\n",
    "\n",
    "$$E_{\\text{total}}= -1.8541486328124999 + 0.714 = -1.1401486328124999 \\ \\text{Hartree}$$\n",
    "\n",
    "<br/>\n",
    "<br/>\n",
    "\n",
    "Therefore, we can conclude that the total energy is similar to that obtained in class with the help of the `Molecule` and `MoleculeProblem` classes, since a VQE algorithm for a two-qubit system works to determine the total energy of the hydrogen molecule $H_2$, as long as the qubits are correlated with each other.\n",
    "\n",
    "<br/>\n",
    "<br/>\n",
    "\n",
    "<table>\n",
    "    <tr>\n",
    "        <td> </td>\n",
    "        <td><b>Optimal energy [Ha]</b></td>\n",
    "        <td><b>Total energy [Ha]</b></td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td><b>From class (session 3)</b></td>\n",
    "        <td>-1.857821819076969</td>\n",
    "        <td>-1.137852824627989</td>\n",
    "    </tr>\n",
    "    <tr>\n",
    "        <td><b>From this HW3 (Part 2)</b></td>\n",
    "        <td>-1.854148632812499</td>\n",
    "        <td>-1.140148632812499</td>\n",
    "    </tr>\n",
    "</table>\n",
    "\n",
    "<br/>\n",
    "\n",
    "<br/>\n",
    "\n",
    "**What can we learn about the provided form this result Hamiltonian?**:\n",
    "\n",
    "It is essential to consider the complete system as a whole; in this case, the system was composed of two qubits, and these must have a relationship between them to complete the representation of the Hamiltonian in a quantum circuit. We can find the value of the total energy of an appropriate way, the system must be internally correlated, in this case, the two qubits that make it up must have some quantum gate that correlates them.\n",
    "\n",
    "<br/>\n",
    "\n",
    "**Plot**:\n",
    "\n",
    "In the next cell, I show the plot of the energy optimization process of the VQE algorithm used. We can see that there is a convergence, but it reaches a plateau relatively quickly, where it remains \"stuck\" and is still unable to find a better value."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "bc2604de-0dc3-4615-863c-1aafbda475bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/jpeg": "/9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDcpLDAxNDQ0Hyc5PTgyPC4zNDL/2wBDAQkJCQwLDBgNDRgyIRwhMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjIyMjL/wAARCAHgAoADASIAAhEBAxEB/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/8QAHwEAAwEBAQEBAQEBAQAAAAAAAAECAwQFBgcICQoL/8QAtREAAgECBAQDBAcFBAQAAQJ3AAECAxEEBSExBhJBUQdhcRMiMoEIFEKRobHBCSMzUvAVYnLRChYkNOEl8RcYGRomJygpKjU2Nzg5OkNERUZHSElKU1RVVldYWVpjZGVmZ2hpanN0dXZ3eHl6goOEhYaHiImKkpOUlZaXmJmaoqOkpaanqKmqsrO0tba3uLm6wsPExcbHyMnK0tPU1dbX2Nna4uPk5ebn6Onq8vP09fb3+Pn6/9oADAMBAAIRAxEAPwD3+iiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA5vxR4jvdDuNJtNP0uO/utSuGgRJLnyFXajOSW2N2U9qm07VNVEN3c+IdNstJtoE3+cuoecuBncWJRAoAHWud+IdtBd654Qt7m4lggfUJQ8sU7Qsv7hzw6kEfnSeINM0/Tfh74sFhqN1eeZpk28XOoSXW3EbYxvY7ep6dePSgDr7fW9KvL5rK11Synu0Xe0EVwjSKvqVBzjkUXeu6TYXkVneapY211Ljy4ZrhEd8+ik5NcJeaTp+j2vw9nsLOGCddQhh85EAdkktpd4J6ncQCc9TWBaafcanN4ttL/AFHwzbzy6hcLcpqlmXuFjJ/dsHMq/Js27SBgY9c0AeuXer6bpz7L7ULW1YxmXE8yodgIBbk9ASBn3FRyeINGia0Eur2EZu1D2we5QGdT0KZPzA+1cHDo1tc+OPB1rqE8Gqi10GV1uGUMkzAxKJMHIOQcjr60tivhyPxb40j8SLYo6GFY1uwoAshCu0Rg/wAOd+dvf3oA9Ag1bTrk2wg1G0lN0HNv5cyt5oThiuD82O+OlTC8tjfPZLcRG6WMStAHG8ISQGK9cEgjPtXkmixG0+DfhjxFArmbQ52vDx87QGV0mX/v2zH6qK7HwFjVZNZ8VMQRq12Vtj/07Q5jj/Mh2/4FQB1F9qNlpdsbnUL23tIBwZbiVY1B+pIFRrrGmPpp1FNStGsAMm6E6mID135x+tcd4h+w/wDC09E/t7yP7M/s+f7F9px5X2vemevG7y+mffFV/F39h/bPCufsP/CO/wBrP9s8vZ5PneU3l+Zjj7+M574zQB29trGmXenyahbajaT2UYZnuYplaNQBkksDgYHWm22u6Re3v2K11Wxnutok8iK4Rn2kZDbQc4wQc15vqf2L+2fHv9heT/Z3/COH7Z9mx5X2rbLjpxu8vGce2anl0mw0rwz8PbixtIYLgahZKZkQB2EkbCTLdTuyc+tAHpNvfWt1DJNb3UMsUbMjvHIGVWU4YEjoQQQR2qvNrukW2mxajPqtjFYygGO5kuEWJwemGJwfzrzXxLdz6DqfiXwvatsl8SvDLp2P4XnIhuD+GN//AAKpfEFlJZfETSNPgn0qzs7fRhDp39rW5mi3q+HCfOoEmwR++PxoA9JOq6etlHfNfWotJSqxz+cvluWOFAbODknA9TUJ8RaGbKa9/tmw+yQSeVLP9qTy434+VmzgHkcH1ry7VtDitvh/qdm+qadfW93r1qzx6amyG3Lyxb41G5tvXdjP8XvXQ+JLPSLHxv4RhvLa0t9GAutiNGqQfadiCPcPu52h9ufwoA7ez1Sw1BnFle21yUVXbyJlfarZKk4PAODj1xTLPXNI1K6ltbHVLK6uIv8AWRQXCO6fUA5FeR3fkeX8Vf8AhFtuPs9rj7J93Ox/N2Y/4HnHfPetXStJS71Hw1e2+v8AhSGK1mD2q6ZZmGWZChDRAmU5BU8jGcj2oA9Bl8SaHDKsUms6fHK0rQBHuUBMinBTGfvAkZHWreoanYaVbfadRvbazgzjzLiVY1z6ZYgV5dYaJpl14T+I11cWUE1xJqOpAyyIGYBQSoBPTByRjuc1YtJrS48YeFpvEbQvbSeG0eya8IMZuiVMpG7jfs2++M0AejjVtNbTf7RGoWhscbvtQmXysdM784/WnWGp2Oq2wudPvba7gJx5lvKsi59MqSK848dC2Nz4UGmz6PDo32+fzZJoRLZrcbDs3qjKM7t+Mn72M1seDtIez8UarenWdEuJLm3iWaz0qHylVlLbZGXe3JBIzxnHtQB3dFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFNfIRiDg4oAdRXD+GdN1rWPCuk6nceMNYSa8s4bh1jhs9oZ0DEDMBOMn1rU/4RrVv+h01z/vzZ/wDxigDpKK5v/hGtW/6HTXP+/Nn/APGKP+Ea1b/odNc/782f/wAYoA6Siub/AOEa1b/odNc/782f/wAYo/4RrVv+h01z/vzZ/wDxigDpKK5v/hGtW/6HTXP+/Nn/APGKP+Ea1b/odNc/782f/wAYoA6Siub/AOEa1b/odNc/782f/wAYo/4RrVv+h01z/vzZ/wDxigDpKK5v/hGtW/6HTXP+/Nn/APGKP+Ea1b/odNc/782f/wAYoA6Siub/AOEa1b/odNc/782f/wAYo/4RrVv+h01z/vzZ/wDxigDpKK5v/hGtW/6HTXP+/Nn/APGKP+Ea1b/odNc/782f/wAYoA6Siub/AOEa1b/odNc/782f/wAYo/4RrVv+h01z/vzZ/wDxigDpKK5v/hGtW/6HTXP+/Nn/APGKP+Ea1b/odNc/782f/wAYoA1dR0fTNYiSPVNOtL6NDuRLqBZQp9QGBwaq2nhfw/YQ3ENnoWmW8VynlzpFaRoJU/usAPmHJ4NVP+Ea1b/odNc/782f/wAYo/4RrVv+h01z/vzZ/wDxigDZlsbSVbfzLaB1tnEkAaMERMAQGX+6QCRkdiar3+g6NqlwlxqGkWF5NGMJJcWySMv0JBIrO/4RrVv+h01z/vzZ/wDxij/hGtW/6HTXP+/Nn/8AGKANlbG0FzFci1gFxFGYo5fLG5EOMqD1A4HHsK5nxPo2t6hqUc+nad4auBHGBBc6nEzTWz5OWXCkEdCBleau/wDCNat/0Omuf9+bP/4xR/wjWrf9Dprn/fmz/wDjFAGfP4Y1Sw8AW3hfQbi0JMDWtxd3hYFVYHfIqqDliSSASBz1rqNM06DSdLtNOtl2wWsKQxj/AGVAA/lWP/wjWrf9Dprn/fmz/wDjFH/CNat/0Omuf9+bP/4xQBsX2nWOqWxttQsre7gJyYriJZFJ+hBFMXR9MTTTpyabaLYEYNqIFERHpsxj9Kyv+Ea1b/odNc/782f/AMYo/wCEa1b/AKHTXP8AvzZ//GKANO20fTLPTn062060gspAyvbRQqsbAjBBUDByOtSvp9nJDbxPaW7RWzK0CGJSsTLwpUY+UjtjpWP/AMI1q3/Q6a5/35s//jFH/CNat/0Omuf9+bP/AOMUAa82nWVzeW95PZW0t1bbvInkiVnizwdrEZXPfFLqGmWGq232fUbG2vIM58u4iWRc+uGBFY//AAjWrf8AQ6a5/wB+bP8A+MUf8I1q3/Q6a5/35s//AIxQBpLomkx2K2Mem2aWiuJFgW3URhgQQwXGMggHPtVPxLYX+o6YlvZ2WkX2ZAZbfVVYxOuD0wGwc46g96h/4RrVv+h01z/vzZ//ABij/hGtW/6HTXP+/Nn/APGKAK/g/wAN3WiSaje35she6g8e6GxQpBBHGu1I0BwTgZJOByelbFt4d0SyvmvbXR9Pgu2JJnitkWQ56/MBms//AIRrVv8AodNc/wC/Nn/8Yo/4RrVv+h01z/vzZ/8AxigDYj06yjhuIFsrdYblneeNYlCys33iwx8xPcnrUd1o+mXtglhd6bZ3FnGAEt5YFeNQBgYUjAwKy/8AhGtW/wCh01z/AL82f/xij/hGtW/6HTXP+/Nn/wDGKANZdK05dN/s1dPtRY42/ZRCvlY6424xj8KTTtH0zSI2j0zTrOyRjkrbQLGD9QoFZX/CNat/0Omuf9+bP/4xR/wjWrf9Dprn/fmz/wDjFAHSUVzf/CNat/0Omuf9+bP/AOMUf8I1q3/Q6a5/35s//jFAHSUVzf8AwjWrf9Dprn/fmz/+MUf8I1q3/Q6a5/35s/8A4xQB0lFc3/wjWrf9Dprn/fmz/wDjFH/CNat/0Omuf9+bP/4xQB0lFc3/AMI1q3/Q6a5/35s//jFH/CNat/0Omuf9+bP/AOMUAdJRXN/8I1q3/Q6a5/35s/8A4xR/wjWrf9Dprn/fmz/+MUAdJRXN/wDCNat/0Omuf9+bP/4xR/wjWrf9Dprn/fmz/wDjFAHSUVzf/CNat/0Omuf9+bP/AOMUf8I1q3/Q6a5/35s//jFAHSUVzf8AwjWrf9Dprn/fmz/+MUf8I1q3/Q6a5/35s/8A4xQB0lFc3/wjWrf9Dprn/fmz/wDjFH/CNat/0Omuf9+bP/4xQB0lFc3/AMI1q3/Q6a5/35s//jFI3hvVgpP/AAmuucD/AJ42f/xigDpaKw/CN5cal4N0S/vJTNc3NjBNLIQBudkBJwOBye1blABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU1/uN9DTqa/3G+hoA5/wD/yTvw1/2C7b/wBFLXRVzvgH/knfhr/sF23/AKKWuioAKKKKACiiigAooooAKKKKAEpa5fVNTuIPHGjWCSkW88UpkQdGIUkZ/wC+a6em4uNr9SIzUm0ugtFFFIsKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApr/cb6GnU1/uN9DQBz/gH/AJJ34a/7Bdt/6KWuirnfAP8AyTvw1/2C7b/0UtdFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVzdt4gv5PGb6FdaUsERtZLqC4F0HMipIicoF+XO/P3j06VranNd29jJLY2Yu7ngJCZRGDkgEliDgAZPQ9OlAF6mv9xvoawdE1251DUr/S9Q09bO/s0ilcRT+dG6SbtpVtqnOUYEFR071vP9xvoaAOf8A/8k78Nf8AYLtv/RS10Vc74B/5J34a/wCwXbf+ilroqACiiigAooooAKKKKACiiigDgtdm2fFPQVz0hP8A49vFd53rzTxJNj4saNz91Yk/Nm/xr0vvW9ZWjH0Oag7yn6i0UUVgdIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTX+430NOpr/AHG+hoA5/wAA/wDJO/DX/YLtv/RS10Vc74B/5J34a/7Bdt/6KWuioAKKKKACiiigAooooAKKKKACiiigCteWqXtnLbSPNGsgwWglaJx9GUgg/Q1iQ+ELG3uI5kv9cd0cOFk1m6dSQc4KmTBHseDXSUUAcRdNrQ+I9vqMfhu9ksIrKSxNwLi3AJeWNvMCmTdtAQ9s+1bOralrtvY6q2m6H9puoCq2KtcIoudyrljkjaFJYEEgnbx1Fb1FAHKeDrW5tYro32l6hb387CW6vb14Ga6fGOBFI+1VAwF4AHTJya1dW0G01YrJcy6gjIhAFrqE9uD9RG6g/jWtTX+430NAHP8AgH/knfhr/sF23/opa6Kud8A/8k78Nf8AYLtv/RS10VABRRRQAUUUUAFFFFABRRRQB5Z4nG74i283/PG7s0P0JJr1LtXl3iHnxNrM3/PC9sDn/gJr1HtXTX+GHp+iOTD/ABT9f1YtFFFcx1hRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNf7jfQ06mv9xvoaAOf8A/8k78Nf9gu2/8ARS10Vc74B/5J34a/7Bdt/wCilroqACiiigAooooAKKKKACiiigAooooAKKKKACiiigApr/cb6GnU1/uN9DQBz/gH/knfhr/sF23/AKKWuirnfAP/ACTvw1/2C7b/ANFLXRUAFFFFABRRRQAUUUUAFFFFAHluu8x+Lrn/AJ53lpz/ALuB/WvUa8x1FPO8O+NH/wCn8D/vl1r0m3fzLeJ/7yA/pXTX2X9dEcuH+J/11ZNRRRXMdQUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTX+430NOpr/AHG+hoA5/wAA/wDJO/DX/YLtv/RS10Vc74B/5J34a/7Bdt/6KWuioAKKKKACiiigAooooAKKKKACiiigAooooAKK5u28QX8njN9CutKWCI2sl1BcC6DmRUkROUC/Lnfn7x6dK2r2W6htJJLO2S5nA+SJ5fLDHPdsHH5GgC1TX+430Nc/omvXV9q9/pOo6fHZ39nHFMwgufPjZJNwX5tqkHKHIKjsec10D/cb6GgDn/AP/JO/DX/YLtv/AEUtdFXO+Af+Sd+Gv+wXbf8Aopa6KgAooooAKKKKACiiigAoPSig9DQB5vGnm+DfF7/3r+5f8AVNd1pDeZo1k/8Aet4z/wCOiuN0pPN+HniB/wDno12/6H/Cuq8Nvv8AC+lN62kWf++BXRV2fqctDdea/U1qKKK5zqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKa/3G+hp1Nf7jfQ0Ac/4B/5J34a/wCwXbf+ilroq53wD/yTvw1/2C7b/wBFLXRUAFFFFABRRRQAUUUUAFFFFABRRRQBWvLVL2zltpHmjWQYLQStE4+jKQQfoaxIfCFjb3EcyX+uO6OHCyazdOpIOcFTJgj2PBrpKKAOIum1ofEe31GPw3eyWEVlJYm4FxbgEvLG3mBTJu2gIe2fat+5vdRWPUcaI9wkLokCLPGDdoyrvIDEBcEsMMRnb71sUUAcV4S0W403WtRu4NFXQtKnhjVNOEiMWmBbdLtjJRMqVXg84yelb+raDaasVkuZdQRkQgC11Ce3B+ojdQfxrWpr/cb6GgDn/AP/ACTvw1/2C7b/ANFLXRVzvgH/AJJ34a/7Bdt/6KWuioAKKKKACiiigAooooAKQ/dNLUF2/l2c7/3Y2P6UIT2OP8LJ5vwzlP8Az2iuT+ZYVteD33+EdKP/AE7qPy4ql4Nhz8PrOLH34ZP1Zv8AGpvAb7/BenH/AGXH5Owroq6qXr/mc1LRx9P8jpKKKK5zqCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKa/3G+hp1Nf7jfQ0Ac/4B/5J34a/7Bdt/wCilroq53wD/wAk78Nf9gu2/wDRS10VABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAU1/uN9DTqa/3G+hoA5/wD/wAk78Nf9gu2/wDRS10Vc74B/wCSd+Gv+wXbf+ilroqACiiigAooooAKKKKAEqjrL+Xod+3923kP/jpq/WP4nfZ4X1U/9Oko/NSKcVdombtFsh8Hp5fhDTB626n8+f61T+Hw/wCKPto/+eckqf8Aj7f41qeGk2eF9KX0s4s/98CsvwJ8ui3UX/PK+mT/AMe/+vWzd4y9V+phFWlD0f6HVUUUVgdIUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTX+430NOpr/cb6GgDn/AP/JO/DX/YLtv/AEUtdFXO+Af+Sd+Gv+wXbf8Aopa6KgAooooAKKKKACiiigAooooAKKKKACiiigAorm7bxBfyeM30K60pYIjayXUFwLoOZFSRE5QL8ud+fvHp0rennitoJJ53WOKNS7uxwFUDJJPYUATU1/uN9DXN+GPFD+I7jVIzp8lolnMixmR8tKjoHVyuBsyrA7TkjPPPFdI/3G+hoA5/wD/yTvw1/wBgu2/9FLXRVzvgH/knfhr/ALBdt/6KWuioAKKKKACiiigAooooASsLxi+zwjqh/wCmBH58Vu965rx6+zwTqR9VQfm6irpK9SK80Z1XaDfkzY0hPL0WxT+7bxj/AMdFYXgn5V12P+5q04H0+Wuktk8u1hT+6ij9K5vwl8mp+I4vTUGf/voVS1Uv66kNWlD+uh1dFFFZG4UUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTX+430NOpr/AHG+hoA5/wAA/wDJO/DX/YLtv/RS10Vc74B/5J34a/7Bdt/6KWuioAKKKKACiiigAooooAKKKKACiiigCteWqXtnLbSPNGsgwWglaJx9GUgg/Q1iQ+ELG3uI5kv9cd0cOFk1m6dSQc4KmTBHseDXSUUAcRdNrQ+I9vqMfhu9ksIrKSxNwLi3AJeWNvMCmTdtAQ9s+1ausaZdeJbS+0u5Fxp9sk0ZhuYZI3NwoCucowIC7sqVYHOPQ10VFAHGeFvD2r6T4o8QXuoaldXcF08XktMsA87ESAuRGoIKkFccAjnBPNburaDaasVkuZdQRkQgC11Ce3B+ojdQfxrWpr/cb6GgDn/AP/JO/DX/AGC7b/0UtdFXO+Af+Sd+Gv8AsF23/opa6KgAooooAKKKKACiiigBK5X4g/N4RuI/+eksSf8Aj4/wrqq5Xx2M6PZxf89L+BP1/wDrVpR/iR9TKv8Aw36HVDoK5Xw58ni3xPF6Twv/AN9Ia6odBXLaN8nj7xIn99LZ/wAkxRD4Zen6oU94ev6HVUUUVmbBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNf7jfQ06mv9xvoaAOf8A/8k78Nf8AYLtv/RS10Vc74B/5J34a/wCwXbf+ilroqACiiigAooooAKKKKACiiigAorJ1XX9K0SW2TVLxLRbglY5JgVjyMcF8bVPIxkjPOOhrSjkSaNZI3V0YZVlOQR6g0ASUUUUAFFFFABTX+430NOpr/cb6GgDn/AP/ACTvw1/2C7b/ANFLXRVzvgH/AJJ34a/7Bdt/6KWuioAKKKKACiiigAooooATvXK+NfmGhR/39XgB+nzV1XeuV8W/PqnhyL11BX/75FaUviRjW+BnVVytj8nxH1Rf+elnE/5HFdVXKx/J8UJB/f0kN+UuKKfX0CpvH1OrooorM2CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKa/3G+hp1Nf7jfQ0Ac/4B/5J34a/wCwXbf+ilroq53wD/yTvw1/2C7b/wBFLXRUAFFFFABRRRQAUUUUAFFFFAHK+MNWOnx21sdZ0PSoroSCSbVXBJA28RxkqH+9zk4HHBzXN+G9G8O215F/wi3jGGfUWuUnnggvIjFNHuHmL9njwi/LuwQoIODnrW74rink8Q6HLa2lrqU8Edw4064fZ5g/dgyoxUqGTIGDjIkODWdb+Er+/wBQk1W40+w0qVr6zuIbeNw7RLCxMj7lUDfIp2EDjaBkmgD0KiiigAorm7bxBfyeM30K60pYIjayXUFwLoOZFSRE5QL8ud+fvHp0q14o1s+HPDd7q4gW4+zKG8ppPLDZYDlsHA59DQBtU1/uN9DWL4d1i41q2luZV0vywwWN9O1H7WjeuW8tMEccc9a2JGARskDg9TQBg+Af+Sd+Gv8AsF23/opa6Kud8A/8k78Nf9gu2/8ARS10VABRRRQAUUUUAFFFFACVyviIb/FvheL1mmf/AL5QV1VctrPz+PvDa/3EuX/NMVpS+L5P8jGt8PzX5nUmuWufk+Jtk3/PTTnT8nzXUmuW1T5PiHoTf89ILhPyGaKW79H+QVdl6r8zqqKKKzNgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmv9xvoadTX+430NAHP+Af+Sd+Gv8AsF23/opa6Kud8A/8k78Nf9gu2/8ARS10VABRRRQAUUUUAFFFFABRRRQBwXxGksYIrG8uJtaW6tI7i4iTSZEjfy1UGV2ZuNqjHfncBgkitfw7HFZanqOnjUtXvZ4ooJW/tCVXAV9+0pgDqVYHPdRWb8Q7bTrqzhgury+tr64huLWAWFq1zLLFIoEq+WFOVxtJPGCF59ZvBKI739zM2sTahL5Sz3Go2DWgZFDBEjUgDavzHjJy2SeaAOpvLVL2zltpHmjWQYLQStE4+jKQQfoaxIfCFjb3EcyX+uO6OHCyazdOpIOcFTJgj2PBrpKKAOIum1ofEe31GPw3eyWEVlJYm4FxbgEvLG3mBTJu2gIe2fat28u78x6gv9hPdJDJGLeMTx/6WpClmAYgLtJYYYjO33FbVFAHJeHtNv8A/hJ9U1u40waVBdQQwraGRGeR0LkyvsJUHDhRgk4XntWvqvh3RNZKyapo9hfSRqVRrm3SQqPQFgcVrU1/uN9DQBz/AIB/5J34a/7Bdt/6KWuirnfAP/JO/DX/AGC7b/0UtdFQAUUUUAFFFFABRRRQAneuWvfn+JOmL/zzspX/ADOK6nvXKv8AP8UIx/zz0kn8TLitKe79GY1dl6o6o1y2v/L418Lv/tXKH8YxXUmuW8UfJr3hqX0vSn/fS0Ufj+T/ACCt8PzX5nVUUUVmbBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNf7jfQ06mv9xvoaAOf8A/8AJO/DX/YLtv8A0UtdFXO+Af8Aknfhr/sF23/opa6KgAooooAKKKKACiiigAooooA4bxLNJeail9purrpk+jXYsJ2lsPtHmNciAqo/eLhcvGSeuR2xzraDcapHq+oaZquqQX08MEE6+TY/Z1RZDKOvmPuJMZ9MY754zdY8E6hqN9qEtt4jks7a9u4Lx7cWaSYliEQUhic4zChxWpoeg32m6nfahqOsNqNzdwww7jbrCEWMyEDC9eZTQB0NFFFABRRRQAU1/uN9DTqa/wBxvoaAOf8AAP8AyTvw1/2C7b/0UtdFXO+Af+Sd+Gv+wXbf+ilroqACiiigAooooAKKKKACuVtvn+Jl63/PPTUT83zXVVyulfP8Qteb/nnBbp+a5rSntL0/VGNXePr+h1Vcp4zG2fw/J6arCv55/wAK6uuU8c/LYaZL/wA89Sgf9T/jSpfGh1vgZ1Y6UUDpRUGoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTX+430NOpr/cb6GgDn/AP/JO/DX/YLtv/AEUtdFXO+Af+Sd+Gv+wXbf8Aopa6KgAooooAKKKKACiiigAooooAKKKKACiiigAorm7bxBfyeM30K60pYIjayXUFwLoOZFSRE5QL8ud+fvHp0rR1zVoNC0e51K5DmOED5UxudiQqqM8ZLEAZ9aANOmv9xvoawPDWvXGvRzySRaascRAVrLUVu+ecq+FAUjjjJ+tbsjAI2SBwepoAwfAP/JO/DX/YLtv/AEUtdFXO+Af+Sd+Gv+wXbf8Aopa6KgAooooAbQBXF/ELVX02LSfLlaMm9WVtrYyqdQfbkV2gPAqpQaipdzOM1KTj2HUUUVJoHauV0H5vG3imT/atkH4Rmup7Vyvhj5/EHiWX1vFT/vla0p/BL0/VGNT44+v6M6quW8f/AC+FzL/zzuYX/wDHx/jXU1zHxAXd4Jv8dR5ZH/fxaKP8SPqh1v4b9Dpx0FLTIm8yJH/vKDT6zNFsFFFFAwooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKa/3G+hp1Nf7jfQ0Ac/4B/wCSd+Gv+wXbf+ilroq53wD/AMk78Nf9gu2/9FLXRUAFFFFABRRRQAUUUUAFFFFABRRRQBWvLVL2zltpHmjWQYLQStE4+jKQQfoaxIfCFjb3EcyX+uO6OHCyazdOpIOcFTJgj2PBrpKKAOIum1ofEe31GPw3eyWEVlJYm4FxbgEvLG3mBTJu2gIe2farPi/Sb/xV4d1rRvsKRhZIWtHlmBS62FJCCByg3Apz9a66igDjtB02+k8WXGtTaONHtzYpaC3aSNnlYOW3nyyVAUcDnPJ4Fbeq+HdE1krJqmj2F9JGpVGubdJCo9AWBxWtTX+430NAHP8AgH/knfhr/sF23/opa6Kud8A/8k78Nf8AYLtv/RS10VABRRRQB5x8QoP7T1aO26/Y9Onuz7cgf+y13OkXH2vRrK5znzYEf81Brmhb/wBqeNfECHpDp6Wv/fwFq0PA1x9o8G6cx6ohjPttYr/Sumr/AA0u1vx1OSl/Fb73/B2OjooormOsTsa5XwZ80/iGT11WZfyxXVHoa5XwN81hqcv/AD01Kd/1H+FXD4JfIxl8cfmdVXP+NU3+DtTHpFn8iDXQVjeKU3+FdWH/AE6SH8lJpU3aafmVVV4NeTL2mPv0q0f+9Ch/8dFW6zPDz+Z4c0x/71rEf/HBWpSl8TKg7xTCiiikUFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTX+430NOpr/cb6GgDn/AP/JO/DX/YLtv/AEUtdFXO+Af+Sd+Gv+wXbf8Aopa6KgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKa/3G+hp1Nf7jfQ0Ac/4B/5J34a/7Bdt/wCilroq53wD/wAk78Nf9gu2/wDRS10VABRRTHdY42djhVBJPtQDOX8Jf6RqXiK+7yX7Qg+ojGB/OjwP+6stUsun2XUZo1H+zkEfzNO8Aq3/AAikNw4w9zNLM31Lkf0pugf6P4y8SWg4VnhnX33L83610T1cl2t+GhyQ05Jd7/jqdXRRRXOdYh6GuW8AHPhjzf8AnpczP/48f8K6aRgkbOf4QTXN/D4Y8E2BPU+Yx/7+NWkf4cvVfqYy/ix9H+h09Z2vJ5nh/UU/vWso/wDHDWl3qrfp5mn3Kf3omH6Goj8SNJK8WjO8JyeZ4T0o/wDTsg/IY/pW1XO+B33+DNMP/TMj8mIroqqorTkvNk0neCfkhaKKKg0CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApr/AHG+hp1Nf7jfQ0Ac/wCAf+Sd+Gv+wXbf+ilroq53wD/yTvw1/wBgu2/9FLXRUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFc3beIL+Txm+hXWlLBEbWS6guBdBzIqSInKBflzvz949OlbF9JfRWcj2NvBPcgjZFNMYkbkZy4ViOMn7p9PegC5TX+430Nc3oHiDUtU1vVdMvtLtbVtPEQeW2vWnVncFtnMaYIXBP+8K6KRgEbJA4PU0AYPgH/knfhr/sF23/AKKWuirnfAP/ACTvw1/2C7b/ANFLXRUAIelZPiWf7L4a1ObOCtu+D7lSB+prWrl/HzsPCk8CH95cyxwr9S4P8gaumrzS8zOq7Qb8jS8NW4tfDGmQ4wRbISPcgE/qayx/o/xN/wBm60382V/8K6eNFijSNRgKAB9BXMa9i38Y+G7voGeaBvfcvH65q4PmnLzT/wAyJx5YR8mv8jq6KKKxNypqbbNMun/uwuf/AB01k+CU2eDtMH/TIn82Jq94gfy/Dmpv/dtZT/44ag8Kps8KaUv/AE6xn8xmtF/Dfr+hi/4q9P1RtU1lDIVPQjFOoPQ1mjVnLfD0k+C7IHqrSqf+/jV1Fct4C+Xw9JF/zzu5k/8AHv8A69dTWlb+I/Uzofw4+gtFFFZmoUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNf7jfQ06mv9xvoaAOf8A/8k78Nf8AYLtv/RS10Vc74B/5J34a/wCwXbf+ilroqACiiigAooooAKKKKACiiigAooooArXlql7Zy20jzRrIMFoJWicfRlIIP0NYkPhCxt7iOZL/AFx3Rw4WTWbp1JBzgqZMEex4NdJRQBxF02tD4j2+ox+G72SwispLE3AuLcAl5Y28wKZN20BD2z7V1EdzePc3yS2DRxwMot5BKrfaQUBJA/hwxK8+mehq/RQBzng3S7rTdC36imzU72eS9vVDBtsshztyODtXanHHy1d1Xw7omslZNU0ewvpI1Ko1zbpIVHoCwOK1qa/3G+hoA5/wD/yTvw1/2C7b/wBFLXRVzvgH/knfhr/sF23/AKKWuioAbXK+Lh5+oeHrL/npqCykeoQZP866uuV1E/afiLo8Pa1tZpyP975P6VpS+K/ZP8jGt8Nu7X5nU1y3jn91Y6be9BaahDKT7ZIP8xXU1z3ji3+0+DdSUdVjEg/4Cwb+lKk7TQ6yvB+h0Q6UtVLC4+16dbXH/PWJJPzANWqhqxpF3VzG8Vts8J6qf+nZx+YxVjQE2eHdMT+7axD/AMcFZ/jd9ng3VD/0yA/NgK19PTy9NtV/uxIP0FaP+GvX/IyX8V+n6lug9KKD0rM2OU8D/Lb6vF/zz1Sdf5V1dcp4PPl3niGL01OR/wDvrFdXWlX42ZUfgQlLWKniGzfxK+hgt9pSLzSeNvrt+uCDWznis2mty4yUthaKKKCgooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigApr/cb6GnU1/uN9DQBz/gH/knfhr/ALBdt/6KWuirnfAP/JO/DX/YLtv/AEUtdFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNf7jfQ06mv9xvoaAOf8A/8k78Nf9gu2/8ARS10Vc74B/5J34a/7Bdt/wCilroqAENcrYf6T8RtWm/59LSK3z6bvnrqj1Fcr4S/0jVPEV93kv2hB9RGMD+dXDSMn5fqY1NZRXmdVVLVrf7XpN5bYz5sDp+akVepD0qE7O5q1dWMDwXcfafCGmSZziEJ/wB8kr/St+uW8B/utGu7P/nzvpoMemDn+tdT6VdVWm/Uzou8F6HL/EJseCb8DqxjUf8Afxa6ZF2IqjoBiuY8ffN4cWL/AJ6XUKf+Pf8A1q6kdBTl/Dj6v9BR/iS9F+otFFFZmxyvhr5PEniaL0ukf/vpa6K5uY7O0muZm2xwoXc+gAya5zQ/k8c+J0PRvszD/v2c0njSV7mGy0OBiJdSmEbEdViXlz/L9a2muaovRfkjmhLlpt+b/M5lbSe00e08ZSIReNe/aZgOot3O3b9MYx7GvTo3WRVdSGUjII7iqt1p0FzpUumlQtu8JhAH8IxgY+lZHgq8kuPD62k//HzYSNaTD3TgfpiicuePN2f4PYKcfZyt3X4rc6WiiisTpCiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmv9xvoadTX+430NAHP+Af+Sd+Gv+wXbf8Aopa6Kud8A/8AJO/DX/YLtv8A0UtdFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUVzdt4gv5PGb6FdaUsERtZLqC4F0HMipIicoF+XO/P3j06Ve8Q6zH4f0K71SWKSZYFB8tCAWJYKBk8AZIyT0GTQBrU1/uN9DXPaN4gurzWbrSNS06O0u4LeO5Bt7n7RGyOWA+bapDZU8EfQmt+RgEbJA4PU0AYPgH/knfhr/sF23/AKKWuirnfAP/ACTvw1/2C7b/ANFLXRUARSMscbOxwqjJPtXN+AVY+FYrlxh7maWZvqXI/pWl4luPsvhvUps4K20mPqVIH6mjwzb/AGTwxpkOMEW6Ej3Iyf1NWtKb82YvWqvJP9DXoooqDY5Tw3/o/ijxNZjjFxHOPfeuTXVVysJ+z/Ey5Tot1pyyH3ZX2/yrqa0q/En3S/Ixo6Ra7N/mct44+ay0qP8A56anAn6n/Cuq9K5Xxl89z4ej9dUib8s11XpRL4I/MIfHL5C0UUVmbHKad8nxE1lf+elrC/5cVHpI/tnxnqOqfegsV+xQHtu6ufz4+hrP13VBofjDVLzPzf2QrIPV/MCr+pFdJ4X0o6T4etLVx++2+ZMT1Lty2fzx+FdM9I83dJfhqccPelydm3+OhskCuUi/4k/xBlixtt9Xg8xfTzo+o/755/GusIzXL+NbeQaTFqluubjTJ1uVx3UHDD6Y5P0rGlrLlfXT/L8TarouZdNf8zqKWoLa4ju7WG4hYNHKgdD6gjIqaoNdxaKKKBhRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFNf7jfQ06mv9xvoaAOf8A/8k78Nf9gu2/8ARS10Vc74B/5J34a/7Bdt/wCilroqACiiigAooooAKKKKACiiigAooooArXlql7Zy20jzRrIMFoJWicfRlIIP0NYkPhCxt7iOZL/XHdHDhZNZunUkHOCpkwR7Hg10lFAHEXTa0PiPb6jH4bvZLCKyksTcC4twCXljbzApk3bQEPbPtV/xNb6zq+h6xp1pZeSQ8SwObgL9si+RpVyOY8jfHz9eldRRQBxHhLQ59O1+7u7TQv8AhH9LktUjNkZI282YMT5m2NmVcL8uc5OeRwK6HVfDuiayVk1TR7C+kjUqjXNukhUegLA4rWpr/cb6GgDn/AP/ACTvw1/2C7b/ANFLXRVzvgH/AJJ34a/7Bdt/6KWuioA5jx0JZPCtzBAjNJO8cQ2jOMuM/oK6KKNYolRRhVUAfQVJjNGabeliFG0nIWiiikWcprX+jeOfD1z/AAzLPAx/4DkfrXUZB7/WszVtCsdchjivo2cRtvQo5Ug4x1FZf/CAaFn/AFdz/wCBL/41p7kkuZ2a8v8AgmFqkZPlSafn/wAAb4nPmeIPDUQ73jP/AN8rXVHtXPWPg3RtNvob2CKbz4SSheZmAJGOhPvXQ9qU2mkl0Kpxkm3LqOoooqDU4XXPD0+q/EDTLhoXNlFAGlkx8uUdmCn6krx6V3IGKKKqU3JJPoZwpqLbXUWoZ4Y7m3khlXdHIpRlPcEYNTUVJocl4MuGt9NudJuG/faZO0BLcZTOUb6Yz+VbU+vaTbEifU7SM+jTqD+Wapah4P0LVL9728svNncAMfMZQcDA4BHapYfCXh+AYTSLQ/78Yf8A9CzWrdNu7vqYRjUS5VbQsafrmmapJJHY3sM7x8sqNkgev0rS7Vzer+FYLsR3Om7dP1CD/UzwKFH+6wHUf59qTR/Eckt22k6xELTVUHC5+SYf3kPf6f8A18S4Jq8f+CNVHF8s/v6HTUUUVBsFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABTX+430NOpr/AHG+hoA5/wAA/wDJO/DX/YLtv/RS10Vc74B/5J34a/7Bdt/6KWuioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmv8Acb6GnU1/uN9DQBz/AIB/5J34a/7Bdt/6KWuirnfAP/JO/DX/AGC7b/0UtdFQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABWTrWhWeu2oiuVIdDuilQ4eJvVTWtRQm07oUoqSszjotR8S6Gpg1DTJNVt4+Fu7Vh5jL23R9Sf881es/Guh3knkvdfZZxwYrtTEwP48frXRVTvtNstQj2XlpBcL2EqBsfTPStOeEviX3GXJOPwv7/APMWfUrG1iEk97bxRkZDPKqgj6k1jXHjnw9buUW+8+TslvG0hP0IGP1p8Hgjw5byF00qFiTnEhZx+TEitm3srW0TZbW0MK+kaBR+lH7td3+H+YfvX2X3v/I55PH2jBgt2t5ZE/d+027KD+Wa2rLWtN1HH2O/t5if4UlBP5dauPGkiFHVWU9QRkGsW78H+H77PnaVbg/3oh5Z/wDHcUXpvo1+P+QWqLqn+H+ZsTTwwJvmmSNfV2AH61kXPjDw/aZ83VrY46iN/MP/AI7mqsXgLw7G+97Jpn9Zpnb9M4rWttE0qzx9m060iI7pCoP54o/dru/w/wAwvVfZfj/kZaePvDMv3dUUf70Tr/NatJ4t0CQfLq9mP96UL/OtWS2gm/1kMb/7yg1Uk0HR5v8AW6VYv/vW6H+lF6fZ/ev8gtV7r7n/AJlaTxZoEY+bV7P/AIDKG/lVN/H3hmLg6orH0SJ2/ktaseg6PD/qtKsU/wB23Qf0q3HbwRD93DGn+6oFF6fZ/ev8gtV7r7n/AJmJb+OPDdz9zVYV/wCugZP/AEICtODV9NusfZtQtJc/885lb+Rp8+m2V2D9ps4Js/8APSNW/mKzJ/Bvh25+/pNsP+ua7P8A0HFH7t919z/yD96uz+9f5m2HVujA/Q07I9RXMH4e+GD/AMw3H0nk/wDiqb/wr3w8PuW86f7tw/8AjRy0/wCZ/d/wQ5qn8q+//gHU5HqKMj1Fcv8A8K+0D/nlc/8AgS/+NH/CvvD/APzxuM+v2l/8aOWn/M/u/wCCHNU/lX3/APAOo/GjPvXKnwJZJ/x76lqtv/1yuiP5g0f8IdcJxH4m1oL6Pcbj+eKXJDv+Ac0/5fxOqyPWml1XGWAz6muX/wCEHtnH+k6vrFz7S3Zx+gpw+H3hvnzLF5GP8T3EhP8A6FT5afVv7v8AghzVHtFff/wDqKK5b/hX+iJ/qBdW/wD1yuXH8yaT/hCUX/Va9rsY9FvOP5UcsP5vw/4Ic9T+X8Tqs0Zrlf8AhD51+74m1v8A4FcZ/pR/wiV9/wBDRqv/AH2KOSP835hzz/l/FHVZozXK/wDCH3B+94m1v/gNxj+lH/CFn/oZfEGfX7b/APWpcke4c8/5fxOqzRmuV/4Q6Yfd8Ta5+Nzn+lL/AMIhd9P+En1nH/XYf4U+SP8AN+Yc8/5fxOp/Gj8a5X/hC3P3vEuvH6XeP6Uf8IQv/Qw6/n1+2f8A2NLlh3/AOaf8v4nVfjR+Ncr/AMISB08R+IB/2+//AGNH/CFH/oZPEH/gb/8AWo5Yd/wDmn/L+J1X40fjXLf8IUf+hk8Qf+Bn/wBaj/hC2H3fEuvj63mf6UcsO/4BzT/l/E6nNGa5X/hD7gfd8Ta3+Nxn+lH/AAiF5/0M+r/9/BT5I/zfmHPP+X8UdTS1yv8AwiN3/wBDPrP/AH+H+Fbml6e+nWYt5Lye7YMT5tw25ue2amUUlo7lRlJvVWL9Nf7jfQ06mv8Acb6GpNDn/AP/ACTvw1/2C7b/ANFLXRVzvgH/AJJ34a/7Bdt/6KWuioAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACmv9xvoadTWG5SAcZGKAOf8AAP8AyTvw1/2C7b/0UtdFXHaRoPizR9GsdLt9f0dobO3S3jMmkSFiqKFGSLgc4HoKvfYvGf8A0HtD/wDBPL/8k0AdHRXFa9P4x0Tw7qOrf2vok32K1kuDF/ZMq79ilsZ+0HGcdcVorZ+MioP9vaHyP+gPL/8AJNAHSUVzn2Lxn/0HtD/8E8v/AMk0fYvGf/Qe0P8A8E8v/wAk0AdHRXOfYvGf/Qe0P/wTy/8AyTR9i8Z/9B7Q/wDwTy//ACTQB0dFc59i8Z/9B7Q//BPL/wDJNH2Lxn/0HtD/APBPL/8AJNAHR0VxOoT+MbC/0i2/tfRJP7Qumtt39kyjy8QyS7sfaOf9XjHHXPatP7F4z/6D2h/+CeX/AOSaAOjornPsXjP/AKD2h/8Agnl/+SaPsXjP/oPaH/4J5f8A5JoA6Oiuc+xeM/8AoPaH/wCCeX/5Jo+xeM/+g9of/gnl/wDkmgDo6K5z7F4z/wCg9of/AIJ5f/kmj7F4z/6D2h/+CeX/AOSaAOjoriYbjxjN4jvNJ/tfRR9mtYLnzf7Kl+bzGlXbj7Rxjyuued3tzp/YvGf/AEHtD/8ABPL/APJNAHR0Vzn2Lxn/ANB7Q/8AwTy//JNH2Lxn/wBB7Q//AATy/wDyTQB0dFc59i8Z/wDQe0P/AME8v/yTR9i8Z/8AQe0P/wAE8v8A8k0AdHRXOfYvGf8A0HtD/wDBPL/8k0fYvGf/AEHtD/8ABPL/APJNAHR0VxOiz+MdYsZLr+19Eh2XVxbbf7JlbPlTPFuz9oHXZnHbOOa0/sXjP/oPaH/4J5f/AJJoA6Oiuc+xeM/+g9of/gnl/wDkmj7F4z/6D2h/+CeX/wCSaAOjornPsXjP/oPaH/4J5f8A5Jo+xeM/+g9of/gnl/8AkmgDo6K5z7F4z/6D2h/+CeX/AOSazden8Y6J4d1HVv7X0Sb7FayXBi/smVd+xS2M/aDjOOuKAO1orm1s/GRUH+3tD5H/AEB5f/kml+xeM/8AoPaH/wCCeX/5JoA6Oiuc+xeM/wDoPaH/AOCeX/5Jo+xeM/8AoPaH/wCCeX/5JoA6Oiuc+xeM/wDoPaH/AOCeX/5Jo+xeM/8AoPaH/wCCeX/5JoA6Oiuc+xeM/wDoPaH/AOCeX/5JrM1qfxjo9jHdf2vok2+6t7bb/ZMq482ZIt2ftB6b8474xxQB21Fc59i8Z/8AQe0P/wAE8v8A8k0fYvGf/Qe0P/wTy/8AyTQB0dFc59i8Z/8AQe0P/wAE8v8A8k0fYvGf/Qe0P/wTy/8AyTQB0dFc59i8Z/8AQe0P/wAE8v8A8k0fYvGf/Qe0P/wTy/8AyTQB0dFc59i8Z/8AQe0P/wAE8v8A8k1mTXHjGHxHZ6T/AGvop+02s9z5v9lS/L5bRLtx9o5z5vXPG334AO2ornPsXjP/AKD2h/8Agnl/+SaPsXjP/oPaH/4J5f8A5JoA6Oiuc+xeM/8AoPaH/wCCeX/5Jo+xeM/+g9of/gnl/wDkmgDo6K5z7F4z/wCg9of/AIJ5f/kmj7F4z/6D2h/+CeX/AOSaAOjornPsXjP/AKD2h/8Agnl/+SazNPn8Y39/q9t/a+iR/wBn3S227+yZT5mYY5d2PtHH+sxjnpnvQB21Fc59i8Z/9B7Q/wDwTy//ACTR9i8Z/wDQe0P/AME8v/yTQB0dNf7jfQ1z32Lxn/0HtD/8E8v/AMk0hsfGRBH9vaHz/wBQeX/5JoAd4B/5J34a/wCwXbf+ilroqy9A0w6J4c0zSWmExsrWK380Lt37FC5xk4zj1rUoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAydb1jTNItU/tNyI7hvKSIRNM0pIJKhFBZuAc4B4qfTNStNY0+K9sZ1ntpM7XGR0OCCDyCCCCDyCK5zxPdwaT4x8PavqEiw6bFDd273EnCQyv5ZQsei5COMn1x3qXwIDLYarfIjLa32q3FzallK7oiQA4B7MQzD1DZ70AdbRRRQAUUUUAFFFFAGPretaVoUEFzq9ykEbTCOFmQufMYEDaACehPPYZzxWxXlXxEs9fEGr6hNYWNzaD7PDaSm9ZGgj82Mt+78sjczgZO7oF9OfTLZrhrWJrmOOKdkBkjR96o2OQGwMgHvgZ9BQBZooooAKKKKACopJUhjaSR1RFBZmY4AA6kmpazdeLDw7qRS0+2OLSXba8/vjsPycc89PxoAo6X4p0DWL8Q2NxuuJot6GS3ki8+NT1RnUCRRu/hJHPvXQV5P4Tmil8ReG0ttcfXfJspY5Y2jC/wBmDYP7oBBJATEm5vfrn1igAooooAKKKKACsa68S6VZ63baPcXDpe3LBYk8iQqzEFgN4XaDhWOCe1bNcD488Q6Pp2t+F7e91O0t5odVW4kSWUKUi8idd5B6LkgZ9TQBu3XivQNHvJLG4uTA0bgSsLaTyo2fB+eQLsUncDyR1roa838WeLtD1e5l8Jtren2dtLErajd3FwiYhcAiOLcfmd1P3uig56kCvRUKmNShBQgbSOmKAH0UUUAFFFFABWJY+IdH1y9vNMtpmnmgQGeKS3dV2MSvVlAYEqw4z0NbdefWviTRJvizfwxaxZGWTTLe0RfOUkzLNPuQDPLDIyPegDpYfE+lXeqnTbeeWacO0ZaO2laIOucqZQuwEYPG7OeK3K8Z8HyS6ZaeHNOtdWvpfEEd39n1LTpJWZI4QX8wtF0QDAYPwWJHJ3V7NQAUUUUAFFFFAFLUdQttLsZLy8kMcEeNzBSx5IAAABJJJAwB3qlY6/o+tQ3XlTgra7XnjuYmhaH+JWZJACBxkEjt7VPrutWPh3RbvVtRlMVpbLukYDJ5IAAHqSQB7mvPWdfFvhfxbf2WpWV3reoaaYVsbG5SY20KhykRKk5di75PTJwOBkgHdaR4q0bXp3g0+7aSVUEux4XjLxk4DrvUblz/ABLke9bdcDZ6tp/iTxxoVzokomgsLC5+1sikCESeUEib0bKk7eo2131ABRRRQAUUUUAZWq69YaKYRevMHn3eWkNtJMzbcZO2NWOBkc+9SWV/p2pWEOq2k8M1sUbZcdMLn5hk8jleQe456Vj+MfGFr4UtbZJJrZL+9Yx2i3UoiiyMbndz0RcgnucgDk1iJpVxd+EbC08P3en65Zy3Uk+pyG78pbtmZndQyK4CmRuVx90be5oA7HRdc07xDp4v9MuPtFsXaMPsZPmU4YYYA9RWnXEfDiS/fTNXF5ZwW4GsXpXyrgyZYzvvHKLgA8A9xzgdK7egAooooAKKKKAMC/8AF2iaXfSWl7dyRSRFRK/2eUxRFgCN8gXYvBHUjrT9U8RaNoV0IbqZkuJlM7RwW0kzlRhd7CNSQOANx449q5jxn4q0m8vrjwdNrFjp6SRY1O5up0jMcLj/AFcYY/M7qevRQc9cCq3iW5trfxiJX19vDsB0lEhv41Vhdgu58sFwV+TggAbz5nBxQB6JaXcF/aQ3dpMk1vMgkjkQ5V1IyCDViub8Dh18EaMr2f2MpbIvkAMNoHAOGywyMHBOeea6SgAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiivKvBup67qniK0NtcadZae2lRTtYRWsnlKv2iVW2ASgK52n5sHtwccgHqtFea6b8QdR1O8tLm3s2msLq7EK2yaZdeYkRfYJTPjyjjhiAMAZ+YkVqab4h1q8TXL+6l0my0zTrq7t1aVHywiJCuzbsKBgZ4OcHGKAO2orza38ZanqP9raULiBrgaVLe2t5Hp9zaqNpCkbZTlvvKQyt+VTaZf6pBoHgmTVXsNRkvrm3VJWtnDxA2sjb9zSNmX5cF+Mhm45oA9DorgY/FuttaQeIGgsf7Cn1AWYgCv9oVGm8hZS+7afmwdm3oeuaiufF3iGC31vVRDpn9maVqTWrxFJPOmjDICwbdhWAb0OcdqAPQ6K4qbxPqMfi+TTLi5sNNtluI4oI7y2l33iFVJaObcIwcllC4Y5XnrXa0AFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAVyth4Is9Kn0+aw1HULd7SIW7FWjP2iISGTZIGQ8ZZuV2nBPNdVRQBzVn4Tj066VrHVdUt7JZzMNPjkTyFYtuIGU3hSSflDY56Yqb/hFNObRNT0iUzyWupTTzT7nAYNKxZtpAGME8f1rfooA5iy8G21vqzanc6lqWoXT2T2LNeSIQYmZWIwiqAcr1Hqc54wtn4Pt7S10u2bUtQuYdLuEntFnaP93tiaJUyqAldrnrk5A5rpqKAOVXwRp8d8kgvL42Ud2b1NNMq/Z1m3b9wG3d947tu7aDzirE/hCwuNH1XTGmuRBqdw1zMwK7lZipIX5cAfKOoNdFRQBzt94Vj1O98271bU5bTz0nNiZE8jejBl/g34DKDjdjiuioooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigD//2Q==",
      "image/png": "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",
      "text/plain": [
       "<PIL.JpegImagePlugin.JpegImageFile image mode=RGB size=640x480>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from PIL import Image\n",
    "import io\n",
    "import base64\n",
    "\n",
    "image_bytes = base64.b64decode(vqe_result.convergence_graph_str)\n",
    "\n",
    "# Usa io.BytesIO para convertir los bytes en un objeto de archivo\n",
    "image_file = io.BytesIO(image_bytes)\n",
    "\n",
    "# Abre la imagen con PIL\n",
    "image = Image.open(image_file)\n",
    "\n",
    "# Muestra la imagen en el notebook\n",
    "display(image)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9423b5a6-1b73-4979-a6d5-838af4e8f979",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
